Artificial neural network model for passenger car unit

In most of the developing countries including India mixed traffic condition prevail on roads and highways. There is a wide variation in the static and the dynamic characteristics of different types of traffic. The only way of accounting for this non-uniformity for any traffic analysis in traffic stream is to convert all vehicles into a common unit and the most accepted unit for this purpose is passenger car unit (PCU). PCU value for a vehicle is not constant but varies with traffic and roadway condition around. A number of factors have been identifies affecting PCU values. The current study aims at developing a Artificial Neural Network (ANN) based model for the estimation of PCU values for bus. ANN based model is of importance because of a number of independent affecting factors. Results of developed ANN based model are compared with the quoted results and are found with high degree of correlation.